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LSSC
2007
Springer

Parallel Implementation of LQG Balanced Truncation for Large-Scale Systems

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Parallel Implementation of LQG Balanced Truncation for Large-Scale Systems
Model reduction of large-scale linear time-invariant systems is an ubiquitous task in control and simulation of complex dynamical processes. We discuss how LQG balanced truncation can be applied to reduce the order of large-scale control problems arising from the spatial discretization of time-dependent partial differential equations. Numerical examples on a parallel computer demonstrate the effectiveness of our approach. Key words: model reduction, LQG balancing, algebraic Riccati equation, Newton’s method, parallel algorithms.
José M. Badía, Peter Benner, Rafael
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where LSSC
Authors José M. Badía, Peter Benner, Rafael Mayo, Enrique S. Quintana-Ortí, Gregorio Quintana-Ortí, Alfredo Remón
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